LR-Type Spherical Fuzzy Numbers and Their Usage in MCDM Problems

Cengiz Kahraman*, Sezi Cevik Onar, Basar Öztaysi

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Özet

Spherical fuzzy sets (SFS) are recent extension of ordinary fuzzy sets, which are composed of three parameters whose squared sum is at most one. SFS are defined by discrete values of these three parameters and provide a larger assignment volume than picture fuzzy sets. We propose a non-linear continuous membership, non-membership, and/or hesitancy function for spherical fuzzy sets based on LR-type nonlinear fuzzy numbers. We illustrate their usage in multiple criteria supplier selection problems. The paper is concluded by limitations and suggestions for further research.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
EditörlerCengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar275-283
Sayfa sayısı9
ISBN (Basılı)9783031397738
DOI'lar
Yayın durumuYayınlandı - 2023
EtkinlikIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey
Süre: 22 Ağu 202324 Ağu 2023

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim758 LNNS
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot22/08/2324/08/23

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Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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